Background

Despite the increasing prevalence of metabolic syndrome among young adults, little is known about the awareness level of college students about this condition. The purpose of this study was to assess students’ level of awareness and knowledge about conditions relevant to metabolic syndrome (MetS).

Methods

A self-reported online questionnaire was administered to 243 students attending Central Michigan University. Questions were divided into seven conditions: diabetes, adiposity, hypertension, high serum cholesterol, arteriosclerosis, stroke, and myocardial infarction. Students’ responses were scored and interpreted as follows: poor knowledge if ≤50% of students answered the question correctly; fair knowledge if between 51-80% of students answered the question correctly; and good knowledge if between 81-100% of students answered the question correctly. Anthropometric measurements including height, weight, waist circumference, percentage body fat, and visceral fat score were measured. Fisher’s exact test was used to test the differences in students’ responses. A p value <0.05 was considered a statistically significant difference.

Results

More than 80% of students correctly identified symptoms and complications of diabetes, hypertension, arteriosclerosis, myocardial infarction and stroke, and 92% identified adiposity as a risk factor for heart disease. There were few false beliefs held by students on questionnaire items. For example, 58% of male students falsely believed that individuals with diabetes may only eat special kinds of sweets compared to 39% of females (p < 0.01) and more than half of the students falsely identified liposuction as the best possible treatment in adiposity therapy. Gender, Health Science major, and year in school were found to be positively associated with more knowledge.

Conclusion

The findings in this study suggest that students’ knowledge about conditions relevant to metabolic syndrome can be improved. In this essence, raising awareness about MetS based on students’ pre-existing knowledge is essential to enhance students’ wellness.

Metabolic syndrome (MetS) is a constellation of interrelated cardio-metabolic risk factors that include central obesity, hyperglycemia, hypertension and dyslipidemia[1–4]. Individuals with MetS are at increased risk for type 2 diabetes[5], cardiovascular disease (CVD)[6, 7], and all-cause mortality[8]. According to the National Cholesterol Education Program’s Adult Treatment Panel III (NCEP ATP III) report, MetS is identified in individuals when at least three of the following five risk factors are present simultaneously: increased waist circumference, elevated blood pressure, elevated serum triglyceride, reduced HDL cholesterol (HDL-C), and elevated fasting plasma glucose[9]. The underlying cause of this syndrome is not yet known, but its manifestation has been linked to obesity (especially abdominal obesity) and insulin resistance[10].

Current literature indicates that MetS is prevalent[11–14] and it is increasing over time[15]. Estimates from the 2003–2006 National Health and Nutrition Examination Survey (NHANES) suggest that 34% of U.S. adults aged 20 years and over have MetS[13]. This represents a 6% increase in the prevalence of MetS from the 1999–2000 NHANES data[15]. Alarmingly, the prevalence of MetS is common not only among U.S. adults but also among younger persons, and is increasing in parallel with a rise in central obesity[15–17]. According to NHANES, 20.3% of males and 15.5% of females, aged 20–39 years, have MetS[13]. Likewise, MetS prevalence was also documented among college students, in the range of 0.6% to 13%[18–21]. Results from the Young Adult Health Risk Screening Initiative study, conducted among 2722 college students, aged 18–24 years, indicated that 10% of males and 3% of the female participants have MetS[22]. Further, the authors reported that 77% of the males and 54% of the female participants displayed at least one risk factor for MetS (elevated blood pressure in men and low concentrations of HDL-C in women)[22]. Similarly, a study conducted among 300 students at the University of Kansas found that 26% to 40% of the students had at least one metabolic risk factor (low concentrations of HDL-C)[19].This is critical as risk factors for MetS are known to increase the risk of CVD and diabetes later in life. In fact, individuals with MetS appear to have a two-fold increase in risk for CVD and a four-fold increase in risk for type 2 diabetes[22]. Thus, early risk factor detection and intervention is essential to prevent or reduce the development of MetS and, eventually, cardiovascular health problems later in life[23–26].

Universities are unique settings for early risk factor detection and intervention so appropriate lifestyle changes can be implemented at an early age. However, prior to developing any prevention or intervention strategy, assessing the level of awareness and knowledge of conditions relevant to MetS among students is essential. According to the Health Belief Model, risk perception is a primary motive to change a behavior, and the greater the perceived threat, the more likely an individual will change his/her behavior[27, 28]. In this essence, college students should first be aware of MetS and then must perceive themselves at risk so appropriate lifestyle choices can be made. However, a lack of awareness/knowledge might hinder such a change. As such, students who are unaware of MetS or lack knowledge about MetS may not perceive themselves at risk for this condition and, consequently, may go undiagnosed until cardiovascular and diabetes complications occur. Thus, assessing students’ level of awareness and knowledge about conditions relevant to MetS is vital to developing any prevention strategy to reduce MetS.

Currently, there is very little information in the literature about studies examining students’ knowledge of conditions relevant to MetS. Current literature indicates that most college students are unaware of MetS or CVD risk factors and that some students hold false beliefs about CVD complications[29, 30]. Previous reports have indicated that college students do not accurately perceive their own risk factors and rate their own risks lower than their peers’ risk[31]. Thus, the main objective of this study was to assess awareness and knowledge of conditions relevant to MetS among a sample of students from Central Michigan University (CMU). The outcomes of this study may have implications for the design of tailored health promotion programs based on students’ pre-existing knowledge to improve students’ overall health.

Design and sample

This study was a cross-sectional survey. Out of 270 students recruited, 243 students (174 females and 69 males) completed all the required study assessments, yielding a response rate of 90%. Students were recruited randomly, both in Foods and Nutrition classes and via Blackboard announcements, by a CMU Nutrition and Dietetics professor during fall 2011 and spring 2012 semesters. Students voluntarily entered the study and were provided adequate information about the study protocol. Students agreeing to participate were asked to sign a consent form, in harmony with the Helsinki declaration, and then to come to a laboratory for anthropometric measurements and to receive a numerical code for completing a self-administered online questionnaire. Students were not offered any incentives for their participation. The study protocol was approved by the CMU Institutional Review Board (IRB).

Data collection

Data collection took place in two steps. First, students’ anthropometric measurements including height, weight, waist circumference, percentage body fat, and visceral fat score were measured. Weight, percentage body fat, visceral fat score, and body mass index were determined by Tanita scale body fat analyzer 300A. As fluctuations in body hydration status may affect body composition results, students were instructed to fast and to refrain from any heavy physical activity before Tanita scale measurements were taken in the morning (within 3 hours after waking up). In addition, students were asked to wipe off the bottom of their feet before stepping onto the measuring platform, since unclean foot pads may interfere with conductivity. Height measurements were taken with a stadiometer. Students were asked to take off their shoes for height measurements. Body mass index (BMI) was used to assess students’ weight status[32]. Normal ranges for percentage body fat were considered as follows: 10-20% for males and 20-30% for females based on Tanita score values. In the second step, students were asked to complete a self-administered online questionnaire consisting of questions related to students’ demographics and characteristics, and 90 questions about students’ knowledge about conditions relevant to MetS. The demographic and student characteristics questions were adapted from Yahia et al.[33]. The knowledge questions were adopted from a previous study by Becker et al.[29]. These questions were tested, standardized and validated to be used among university students in a previous study[29]. In addition, the selected adapted questions were administered to a pilot group of 20 students to ensure adequate understanding of the items.

The 90 questions about students’ knowledge were about the conditions often leading to MetS, the outcome and treatment of these conditions, and a description of physical changes relevant to MetS. The questions were divided into seven categories: diabetes (16 questions), adiposity (9 questions), hypertension (12 questions), high serum cholesterol (6 questions), arteriosclerosis (17 questions), stroke (12 questions), and myocardial infarction (18 questions). The response options to the questions were “true”, “false”, or “do not know”. Students’ responses were scored. The “correct” response was awarded one point and the “incorrect” and “do not know” responses were awarded zero points. The maximum possible total score for the MetS questions was 90. Prior to taking the questionnaire, each student was given a numerical code to use. The purpose of coding was to maintain anonymity of the students and to allow them to answer the questions honestly without being identified. The questionnaire was a web-based survey administered via Survey Monkey and was available online for about 10 weeks to accommodate students’ response times.

The definitions for the levels of students’ knowledge were as follows: poor knowledge if ≤50% of students answered the question correctly; fair knowledge if between 51-80% of students answered the question correctly; and good knowledge if between 81-100% of students answered the question correctly[34]. In this study, the questionnaire was pilot-tested on a randomly selected group of 20 students prior to its administration. Students were given instructions on how to fill out the questionnaire completely and truthfully and to skip a question if unsure of the answer.

Data analysis

All analyses were performed using the SAS® 9.3 (U.S.A.) software. Descriptive analyses were performed for all study participants. Student’s t-test was used to examine differences in the continuous variables (age, weight, height BMI,% body fat, visceral fat, and waist circumference) between male and female students. Fisher’s exact test or chi-squared was used for the categorical variables (Health-Science vs non-Health Science majors of study, year in school, and presence of family history of various diseases). Fisher’s exact test was also used to examine differences in students’ responses to the questionnaire.

To examine the associations between several variables (such as gender, major of study, year in school, family history, weight status, and ethnicity) and total score for the MetS questions, a Poisson regression model was used. In this model, total score was used as the dependent variable and gender, major of study, family history (any), overweight/obesity, ethnicity, and year in school, were used as independent variables. To assess how these variables were associated with scores on the seven different sections of the questionnaire, seven t-tests were performed to test the differences in the percentage of correct answers for each section (to standardize the unit across the seven sections because the maximum score across the seven sections varied) by the following categorical variables: gender, major, any family history, overweight/obese, ethnicity, and year in school. For all tests, p < 0.05 was used to determine significance; however, since there are multiple tests, this analysis should be considered exploratory. Results were expressed as means ± SD (standard deviation). All reported p values were 2-sided and a p value less than .05 was considered statistically significant.

Participants’ characteristics

A sample of 243 students (72% females and 28% males), with a mean age of 20.6 years, participated in this study. The average weight and height of the participating students were 69.8 ± 16.7 kg and 166.8 ± 9.1 cm, respectively. The mean BMI and percentage body fat for males were 26.1 ± 4.9 kg/m2 and 16.6 ± 8.1, respectively, whereas for females values were 23.4 ± 3.9 kg/m2 and 26.8 ± 6.9, respectively. The mean values of visceral fat scores for males and females were 1.9 ± 1.8 and 3.7 ± 3.4, respectively (Table 1). Of the participating students, 89% were Caucasian, 10% African American, and 1% other ethnicity, reflecting the composition of the ethnic groups at CMU. More than half of the students were Health-Science major (51%) and most of them were in their second and third year of academic study. More women reported a science major (58%) than men (36%). Smoking was not common among students, as 89% of students reported being non-smokers, 6% were current smokers, and 5% were former smokers. Family history of chronic diseases among students was distributed as follows: 13% heart disease, 23% diabetes, 41% hypertension, and 26% cancer. This demographic profile is consistent with national averages in regard to students’ age, gender, and year in school[35], but different in regard to less ethnic diversity, lower percentage of smokers[35], and less obesity[24].

***Total% exceeds 100% due to students with a family history of more than one condition.

****Other - includes the “other” family history questions in the data such as family history of overweight, obesity, and high cholesterol.

Metabolic syndrome questionnaire

Overall, results show that students were most knowledgeable about the two conditions: arteriosclerosis and stroke conditions, and least knowledgeable about adiposity and cholesterol. Table 2 shows items where more than 80% of the students answered the questions correctly- indicating good knowledge on questionnaire items; Table 3 shows items where 51-80% of the students answered the questions correctly - indicating fair knowledge; and Table 4 shows items where ≤50% of the students answered the questions correctly- thus indicating poor knowledge or areas for improvement.

Table 2

Students’ response to the MetS questionnaire by gender -goodlevel of knowledge - (percentage of students answered each question correctly between 81-100%)

Conditions

Question

Correct answer

Males (N = 69)

Females (N = 171)

Total (N = 240)

P value

n

%

n

%

n

%

Diabetes

There are several different types of diabetes.

True

62

90.0

144

84.2

206

85.8

0.310

Pregnant women have a reduced risk of acquiring diabetes.

False

56

81.2

148

86.6

204

85.0

0.320

Eye disorders can be consequences of diabetes.

True

60

87.0

134

78.8

194

81.2

0.201

Adiposity

Adipose individuals have an elevated risk of suffering myocardial infarction.

True

63

91.3

15

92.9

219

92.4

0.788

Cessation of breathing while sleeping is a possible consequence of adiposity.

True

52

75.4*

147

87.5*

199

84.0

0.031

Adipose individuals are more likely to suffer from arteriosclerosis.

True

53

76.8

146

86.9

199

84.0

0.078

Hypertension

Hypertension can cause dizziness.

True

60

88.2

144

85.2

214

86.1

0.679

High serum cholesterol

A low cholesterol diet can supplement therapy for high serum cholesterol.

True

62

89.9

148

89.2

210

89.4

1.000

High serum cholesterol can be treated with medication.

True

58

84.1

142

85.5

200

85.1

0.841

High serum cholesterol promotes arteriosclerosis.

True

53

76.8*

145

87.9*

198

84.3

0.046

Arteriosclerosis

Arteriosclerosis increases the risk of suffering a stroke.

True

59

85.1*

162

96.4*

221

93.3

0.007

Leg pains are a symptom of arteriosclerosis.

True

56

81.2

148

88.1

204

86.1

0.214

In arteriosclerosis, a sustainer can be inserted into the artery in order to stabilize it.

True

56

81.2*

151

91.0*

207

88.1

0.041

Individuals with high blood pressure are more likely to suffer from arteriosclerosis.

True

50

72.5*

148

89.2*

198

83.9

0.003

Stroke

A stroke affects the brain.

True

61

88.4*

162

97.0*

223

94.5

0.023

If a patient survives a stroke, there are usually no permanent consequences.

False

52

75.4*

146

88.0*

198

84.3

0.011

Permanent speech defects are possible consequences of a stroke.

True

59

85.5*

159

95.1*

218

92.4

0.015

A stroke is often followed by memory dysfunction.

True

52

75.4*

150

89.8*

202

85.6

0.007

There are different types of strokes.

True

54

78.3*

151

90.4*

205

86.9

0.018

A stroke is preceded frequently by speech problems.

True

58

84.1

146

88.0

204

86.4

0.407

Myocardial infarction

When suffering a myocardial infarction, pain may radiate into the arms.

True

58

85.3

155

93.4

213

91.0

0.075

Hereditary factors play a role in the risk of suffering a myocardial infarction.

True

51

75.0

138

83.6

189

81.1

0.142

After a myocardial infarction, anticoagulants are administered.

True

60

88.2

148

89.2

208

88.9

0.822

A myocardial infarction is often preceded by shortness of breath.

True

54

79.4*

153

92.2*

207

88.5

0.012

A myocardial infarction is caused by arterial obstruction.

True

53

77.9

146

88.0

199

85.0

0.068

After a myocardial infarction has occurred, parts of the cardiac muscle tissue can die.

True

64

92.6

158

95.8

222

94.9

0.344

With a myocardial infarction, cardiac muscle tissue dies.

True

51

75.0

141

84.9

192

82.1

0.091

*p < 0.05.

Table 3

Students’ response to the MetS questionnaire by gender –fairlevel of knowledge – (percentage of students answered correctly between 51-81%)

Conditions

Question

Correct answer

Males (N = 69)

Females (N = 171)

Total (N = 240)

P Value

n

%

n

%

n

%

Diabetes

Hereditary factors play a major role in the development of diabetes.

True

54

78.3

138

80.7

192

80.0

0.722

An increased alertness is a frequent symptom of diabetes.

False

47

68.2

141

82.5

188

78.3

0.310

Hereditary factors play only a minor role in the development of diabetes.

False

43

62.3

112

65.5

155

64.6

0.657

For some individuals with diabetes it is not advisable to take insulin.

True

57

82.6

119

69.6

176

73.3

0.052

Individuals with diabetes may only eat special kinds of sweets for diabetes.

False

29

42.0*

104

60.8*

133

55.4

0.010

With diabetes, sugar cannot enter the cells sufficiently.

True

47

69.1

103

60.6

150

63.0

0.237

Poor appetite is a frequent symptom of diabetes.

False

33

47.4

93

54.4

126

52.5

0.393

With diabetes, too much sugar enters the cells.

False

45

65.2

89

52.1

134

55.8

0.084

Pregnant women have an increased risk of acquiring diabetes.

True

47

69.1

134

78.4

181

75.7

0.136

Frequent urination is a classic symptom of diabetes.

True

55

79.7

121

71.2

176

73.6

0.198

Arteriosclerosis is one of the sequalae of diabetes.

True

44

63.8

109

64.1

153

64.0

1.000

Adiposity

An excessively fatty, high-caloric is the only factor that determines adiposity.

False

43

62.3

105

62.5

148

62.5

1.000

Adipose individuals have the same risk than non-adipose individuals of suffering a stroke.

False

45

65.2

120

71.4

165

69.2

0.355

Adiposity can be treated surgically.

True

45

65.2

128

76.2

173

73.0

0.107

Hypertension

Hypertension is associated with heredity.

True

54

79.4

138

80.7

192

80.3

0.858

For the most part, a concrete single reason of why a patient suffers from hypertension can be determined.

False

33

48.5

103

60.2

136

56.9

0.067

Pregnant women are less likely to suffer from hypertension.

False

48

70.6*

143

83.6*

191

79.9

0.031

After medication has lowered hypertension, the medication can usually be discontinued.

False

44

64.7

115

67.7

159

66.8

0.761

Individuals with hypertension are less likely to suffer from arteriosclerosis.

False

44

64.7*

134

78.8*

178

74.8

0.031

Hypertension can be caused by disorders of the thyroid gland.

True

54

79.4

133

78.4

187

78.6

1.000

Hypertension can cause renal damage.

True

53

77.9

134

78.8

187

78.6

0.863

Hypertension can lead to eye disorders.

True

49

72.1

119

70.0

168

70.6

0.875

Hypertension can be caused by cerebral tumors.

True

43

63.4

111

65.3

154

64.7

0.766

High serum cholesterol

High serum cholesterol is not associated with hereditary factors.

False

46

66.7*

133

80.6*

179

76.2

0.028

Arteriosclerosis

With arteriosclerosis, arteries become softer.

False

42

60.8

109

64.9

151

63.7

0.556

Arteriosclerosis can be cured completely.

False

48

69.6

135

80.4

183

77.2

0.088

With arteriosclerosis, arteries become less elastic.

True

45

65.2*

141

83.9*

186

78.5

0.003

As a result of arteriosclerosis, blood pressure is likely to decline.

False

42

60.9*

129

76.8*

171

72.2

0.017

As a result of arteriosclerosis, blood pressure is likely to increase.

True

53

76.8

136

81.0

189

79.8

0.480

High blood pressure and arteriosclerosis are not linked with each other.

False

51

73.9

135

81.3

186

79.2

0.212

The risk of suffering from arteriosclerosis is not hereditary.

False

41

59.4*

125

74.9*

166

70.3

0.028

Arteriosclerosis can cause renal damage.

True

53

76.8

124

74.7

177

75.4

0.869

With arteriosclerosis, blood platelets accumulate on the arterial walls.

True

54

78.3

117

70.5

171

72.8

0.261

With arteriosclerosis, fat accumulates on the arterial walls.

True

45

75.2*

133

79.6*

178

75.4

0.030

Medication can remove completely sediments from the arteries.

False

45

65.2

118

71.1

163

69.4

0.438

With arteriosclerosis, arteries become brittle.

True

50

72.5

109

65.3

159

67.4

0.351

A stroke is caused by artery obstruction.

True

51

73.9

139

83.2

190

80.5

0.107

The nutrient supply to the brain is not affected by a stroke.

False

44

63.8*

142

85.5*

186

79.2

<0.001

A stroke is characterized by a sudden dysfunction of the heart.

False

44

63.8

89

53.3

133

56.4

0.151

A stroke is caused when overexcited cells produce too much electricity.

False

44

63.8

103

61.7

147

62.9

0.883

Individuals with diabetes are more likely to suffer a stroke.

True

47

68.2

122

73.1

169

69.1

0.526

Smoking is a minor risk factor with respect to a myocardial infarction.

False

35

51.5*

109

66.1*

144

61.8

0.031

The oxygen supply to the heart is not affected by a myocardial infarction.

False

45

66.2*

138

83.1*

183

78.2

0.008

Damage caused by a myocardial infarction is not usually permanent.

False

45

66.2*

133

80.6*

178

76.4

0.027

Diabetes is a predisposing factor for a myocardial infarction.

True

42

60.9

122

73.5

164

69.8

0.062

When suffering a myocardial infarction, pain may radiate into the stomach.

True

38

55.1

105

63.3

143

60.9

0.245

A myocardial infarction can manifest itself through nausea and vomiting.

True

42

60.9

94

56.6

136

57.9

0.565

*p < 0.05.

Table 4

Students’ response to the MetS questionnaire by gender -poorlevel of knowledge – (percentage of students answered correctly ≤50%)

Conditions

Question

Correct answer

Males (N = 69)

Females (N = 171)

Total (N = 240)

P Value

n

%

n

%

n

%

Diabetes

Individuals with diabetes must have insulin shots.

False

30

43.5

76

44.7

106

44.4

0.887

With diabetes, sugar cannot move in the blood.

False

25

36.2

56

32.8

81

33.8

0.652

Adiposity

The terms ‘overweight’ and ‘adiposity’ are synonyms.

False

35

50.7

70

41.7

105

44.3

0.250

Liposuction is the best possible treatment in adiposity therapy.

False

27

39.1

75

44.6

102

43.0

0.472

Hypertension

People with hypertension are as likely to suffer from arteriosclerosis as those with normal hypertension.

False

32

47.1

67

39.2

99

41.4

0.309

Pregnant women are as likely to suffer from hypertension as non-pregnant women.

False

31

45.6

76

44.7

107

45.0

1.000

High serum holesterol

High serum cholesterol does not cause acute ailments.

True

24

34.8*

26

15.7*

50

21.3

0.002

Fatigue is a frequent symptom of high serum cholesterol.

False

16

29.2

30

18.1

46

19.6

0.372

Arteriosclerosis

With arteriosclerosis, arteries contract.

False

21

30.3

43

25.6

64

27.0

0.511

Stroke

A stroke is preceded frequently by chest pains.

False

32

46.4

80

47.9

112

47.5

0.886

Myocardial infarction

A myocardial infarction is caused by cerebral dysregulation of the heart.

False

32

47.1*

47

28.3*

79

33.8

0.009

A myocardial infarction must be treated surgically.

False

25

36.3

60

36.1

85

36.2

1.000

A myocardial infarction is typically followed by some degree of paralysis.

False

23

33.3

78

47.0

101

43.0

0.061

A myocardial infarction is caused by malfunction of one or more heart valves.

False

14

20.3

24

14.6

38

16.2

0.331

A myocardial infarction is usually preceded by loss of sensation and numbness.

False

20

29.0

33

19.9

53

22.6

0.161

*p < 0.05.

Good level of knowledge of conditions relevant to MetS

Students indicated good knowledge on various questionnaire items about conditions relevant to MetS. As shown in Table 2, more than 80% of students were aware about diabetes types, eye complications, and increased risk in pregnancy. Ninety two percent of the students identified adiposity as a risk factor for heart disease and 84% knew that adiposity, and high serum cholesterol, can predispose individuals to arteriosclerosis. Likewise, more than 85% of students knew that individuals with hypertension may complain of dizziness and that high serum cholesterol can be treated with diet and medications.

Arteriosclerosis was clear to many students in regard to disease characteristics, symptoms, and risk factors. For example, 86% of the students correctly identified leg pain as a symptom of arteriosclerosis, 93% (85.5% of males and 96% of females) knew that arteriosclerosis increases the risk of suffering a stroke (p < 0.05), and 88% knew that a stent can be surgically inserted into an arteriosclerotic artery to increase the flow of blood through it.

As for the stroke questions, most students indicated good knowledge about causes, symptoms and complications of stroke with few statistically significant differences between genders. For example, 94.5% of the students knew that stroke affects the brain, but more females (97%) than males (88%) responded correctly to this question (p < 0.05). Also, 95% of the female students knew that a permanent speech defect is a potential consequence of stroke compared to 85.5% of the males (p < 0.05). Likewise, 89% of the females knew that a stroke is often followed by a memory dysfunction compared to 75% of males (p < 0.05) and 86.4% of the students were aware that a stroke is usually preceded by speech problems.

Students indicated good knowledge about myocardial infarction in terms of causes, symptoms and treatment with few gender differences. For example, 85% of students knew that obstructive coronary artery disease may cause myocardial infarction and 91% of students knew that most myocardial infarctions can cause chest pain radiating into the right or left arm. More females (92%) than males (79%) knew that shortness of breath may precede a myocardial infarction (p < 0.05) which may lead to permanent damage of the affected heart tissue (85% of females vs. 75% of males), and 89% of the students were aware that anticoagulant medications are administered after a myocardial infarction.

Fair level of knowledge of conditions relevant to MetS

Table 3 shows the questions where students’ correct answers were between (51-80%) indicating fair knowledge. Students showed fair knowledge about diabetes in regard to risk factors, symptoms, diet and complications. About 80% of students knew that hereditary factors can play a role in the development of diabetes. Polyuria was identified by 74% of students as a common symptom of diabetes and 64% identified arteriosclerosis as one of the sequela of diabetes. However, 45% of the students (58% of males and 39% of females) falsely believed that patients with diabetes can only eat special kinds of sweets (p < 0.05).

Adiposity was fairly understood by students in regard to risk factors and treatment. About 69% of students were aware that obesity increases the chance of suffering a stroke and 73% knew that adiposity can be treated surgically. As for hypertension, students indicated fair knowledge in terms of risk factors, causes, and treatment. About 80% of students were aware that hereditary factors can contribute to hypertension. However, 43% of students falsely believed that most cases of hypertension can be attributed to a single, easily identified cause, and 33% assumed that antihypertensive medications could be discontinued once blood pressure was under control. Complications of untreated hypertension, such as kidney and eye diseases, were identified by 70% of students.

Poor level of knowledge of conditions relevant to MetS

Table 4 shows the questions where less than 50% of students answered the questions correctly, thus indicating poor knowledge or areas for improvement. Students showed poor knowledge about some aspects of the physiology and treatment of diabetes. About 66% of the students assumed that sugar cannot “move” in the blood with diabetes and 56% thought that all patients with diabetes must take insulin injections. In regard to adiposity, 56% of students thought that the terms “overweight” and “adiposity” were synonymous and 57% of students falsely believed that liposuction was the best possible treatment for adiposity.

In terms of hypertension, only 45% of students knew that pregnant women were more likely to suffer from hypertension than non-pregnant women. Consequences of high serum cholesterol were not clear to students as 79% thought that high serum cholesterol causes acute ailments and 80% of students falsely believed that fatigue could be a frequent symptom of high serum cholesterol. There were few false beliefs among students about arteriosclerosis, stroke, and myocardial infarction. For example, 73% of students falsely believed that with arteriosclerosis, arteries contract and 52.5% of the students falsely believed that a stroke is preceded by chest pain.

Myocardial infarction was not clear to students in terms of causes, symptoms, and treatment. About 66% of students falsely believed that a myocardial infarction is caused by cerebral dysregulation of the heart, 84% thought that myocardial infarction is caused by malfunction of one or more heart valves, 77.5% assumed that myocardial infarction is preceded by a loss of sensation and numbness, 57% believed that myocardial infarction is typically followed by some degree of paralysis. More than two-thirds of the students (64%) thought that myocardial infarction must be treated surgically.

Total score in relation to gender, major of study, year in school, family history, BMI, and ethnicity

Results of the Poisson Regression model regressing total score on gender, major of study, any family history, overweight/obese, ethnicity, and year in school as covariates, indicated that gender, major of study and year in school were significant factors associating with differences in total score. Controlling for covariates mentioned, females scored 6% higher than male students (p = 0.01), Health Science major students scored 7% higher (p = 0.0011) than non- Health Science major students. Compared to 1st year students, 5th year had 11% higher scores (p = 0.002). Family history of disease, BMI and ethnicity were not significantly associated with total score (Table 5). Table 6 shows the average percent correct answers per condition, which ranged from 62.7% (lowest percentage on adiposity questions) to 77.3% (highest percentage on stroke questions).

Table 5

Poisson Regression Model - Total Score*

Total score

Variable

OR*

PValue

Gender (Female)

1.06

0.010

Health sciences major

1.07

0.001

No family history

0.97

0.106

BMI <25

0.99

0.530

Ethnicity (White)

1.05

0.111

2nd year

0.98

0.557

3rd year

1.00

0.927

4th year

1.06

0.059

5th year

1.11

0.002

*overall model p < 0.001.

*OR (odd ratio).

Table 6

Summary of Average Scores and Percentage of Correct Answers Per Condition as Questionnaire Topic Areas (N = 243)

Condition

Maximum score

Average score

SD*

Average percentage of correct answers

SD*

Diabetes

16

10.7

2.5

66.6

15.9

Adiposity

9

5.7

1.6

62.7

17.4

Hypertension

12

8.3

2.4

68.8

20.2

Cholesterol

6

3.8

1.1

62.7

18.5

Arteriosclerosis

17

12.6

3.2

74.1

18.7

Myocardial infarction

18

11.7

3.0

64.8

16.8

Stroke

12

9.3

2.6

77.3

21.5

* Standard deviation.

Figures 1,2,3,4 and5 explore visually the trends for average percent correct answers per condition for various characteristics. Females scored higher than males on most conditions, except for “Diabetes” and “Cholesterol” sections, where males had similar average score as females (Figure 1). Health Science major students consistently scored higher than non-Health Science major students (Figure 2). Those students in the 5th-year of study scored higher than those students in the 1st, 2nd, 3rd, or 4th- years; however, there was an overlap between the other grade years (Figure 3). While those students with family history of some diseases generally scored higher than those students with no-family history, this difference was not statistically significant for most of the tests (Figure 4). There was no difference between the knowledge of healthy weight students and that of obese or overweight students (Figure 5).

Study’s results show that students were most knowledgeable about arteriosclerosis and stroke conditions and least knowledgeable about adiposity and cholesterol. There were some false beliefs held by students. For example, 56% of the students falsely believed that all individuals with diabetes must take insulin injections, 55.4% falsely believed that individuals with diabetes can only eat special kinds of sweets, and 57% falsely identified liposuction as the best possible treatment for adiposity. There was no pattern for significant gaps in knowledge between the conditions or type of knowledge missing. The average percentage correct answers by condition varied from 62.7% to 77.3%. Similar analyses by type of information (enabling conditions often leading to, description of physical changes, outcomes of condition and treatment of the conditions) did not reveal any consistent gaps in knowledge. Therefore, the discussion of areas for improvement will be explored by the individual questions. As expected, Health-Science major students scored 7% higher than non-Health-Science major students (p < 0.001), and 5th- year students scored 11% higher than 1st-year students (p < 0.001). Students majoring in Health Sciences would have covered these topics more intensely than students of non-Health Science majors. Also, students in their 5th-year would be expected to perform better than 1st-year students as they are in their final year of schooling and would have covered more coursework on the topic. In regards to gender, female students showed better “understanding” since being female was associated with a 6% higher score after controlling for the other covariates in the regression model (p < 0.01). Female students scored higher than male students on most questionnaire sections, except for “Diabetes” and “Cholesterol” sections, where scores were similar for both genders. It could be argued that the gender differences seen in this study were due to the field of study as more females (58%), than males (36%), were majoring in Sciences; however, based on the Poisson Regression analysis, after controlling for covariates (major of study, year in school, BMI, ethnicity), females still scored higher than male students (p < 0.01). One possible explanation for this difference in results might be that female students are more concerned about their body shape and may have more interest in health issues than male students at college age[36]. Male students, in general, have more interest in extracurricular activities than in health issues. Results also indicated that students with family history of some diseases generally scored higher than students with no family history, but differences were not statistically significant. To test whether students’ specific family history was associated with knowledge by score condition, (for example if students had a family history of diabetes, were their diabetes scores higher), regression analysis did not indicate any significant differences.

Nevertheless, in spite of the majority of students correctly identified symptoms and complications of diabetes, adiposity, hypertension, arteriosclerosis, myocardial infarction and stroke, there were some misconceptions held by students on questionnaire items that have implications for future health education efforts and whether students will be prompted to make personal healthy lifestyle choices. For example, in terms of diabetes, about half of the students believed that individuals with diabetes can only eat special kinds of sweets and more than two-thirds of the students thought that sugar cannot “move” in the blood in patients with diabetes. These results reflect a lack of understanding about the etiology and treatment of diabetes. The notion that individuals with diabetes cannot eat sweets or desserts like anyone else may also reflect the general public’s notions about diabetes. Diabetes is a serious health problem and it is the seventh leading cause of death in the United States[37]. Thus, educating students about this disease as a first step in awareness and knowledge is important as a precursor to other health education efforts that could lead to actual behavior changes to reduce their personal risk of developing diabetes or metabolic syndrome later in life.

Central obesity is a leading risk factor for metabolic syndrome. Results indicated that the majority of students, irrespective of weight, were aware that adiposity is a risk factor for heart disease, stroke and arteriosclerosis. However, students were not clear about whether the terms “overweight” and “adiposity” are synonyms. These terms are often misleading and sometimes used as synonyms, even though the former refers to the gaining of body weight, and the latter refers to an excess of body fat. Also, adiposity treatment was not clear to students as more than half of the students thought that liposuction is the best possible treatment in adiposity therapy. This finding may be related to how the media portray liposuction as a revolutionary treatment for adiposity therapy. It was reported that most college students acquire their health information via television, popular magazines, and the internet rather than from credible, evidence-based information sources[38]. Confusion about overweight and adiposity and the notion that liposuction is the best possible obesity treatment may contribute to students failing to understand that the amount and placement of adipose tissue in the body are more important concepts than body weight itself. While the survey did not specifically measure knowledge related to body fat distribution, e.g. central obesity, lack of clarity about adiposity may further confuse the issue. The belief that liposuction is the best possible obesity treatment, may lead to students overlooking the importance of making healthy lifestyle choices, including healthy eating habits and regular physical activity, as the primary prevention and treatment options. Also, this could lead students to the perception that healthy lifestyles are not necessarily important since other actions can be taken later to resolve the health consequences.

In this study, findings related to the hypertension questions indicated that the majority of students knew that hypertension can be manifested as dizziness, is linked to the genetic makeup of an individual, and heredity is a risk factor for this condition. However, when students were asked whether pregnant women are as likely to suffer from hypertension as non-pregnant women, only 45% of the female students responded correctly to this question. In addition, only 41.4% of the students knew that there is a relationship between hypertension and arteriosclerosis. Hypertension is often called a “silent” killer because it usually starts with no symptoms or warning signs and progress before individuals realize that they have it. It has been estimated that about 1 in 5 (20.4%) adults in the U.S. have high blood pressure but are unaware of it[39–42]. In this regard, students’ correct response identifying that dizziness is a symptom of blood pressure may lead them to a false sense of safety if they wait for this sign and symptom, prior to seeking health advice or making healthy lifestyle choices, to prevent the development of hypertension. Students’ response also indicates a lack of understanding about risk for hypertension during pregnancy and the connection between hypertension and arteriosclerosis.

In regard to the cholesterol questions, results are encouraging as more than two-thirds of the students were aware that family history is a risk factor for high serum cholesterol, and more than 85% of the students were aware that high serum cholesterol can be treated with diet and medication. In 2008 in Germany, Becker et al. reported that only about half of their participating students knew that heredity and serum cholesterol were related, and that high serum cholesterol can promote arteriosclerosis[29]. The differences seen in students’ responses in our study and that of Becker et al. might be due to the cultural differences in risk perceptions. It might be that our students are more familiar with cholesterol as a risk factor for heart disease than students in the Becker et al. study[29] since heart disease is the number one killer in the U.S.[6].

As for arteriosclerosis questions, 93% of students were aware that arteriosclerosis can increase the risk of suffering a stroke, but more than two-thirds of the students were not aware that elevated cholesterol can thicken the wall of the arteries leading to stiffness and loss of elasticity, and only 20% knew that high cholesterol did not cause “acute” ailments and that fatigue was not a symptom of elevated cholesterol. Therefore, it is unclear that the ultimate connection between elevated serum cholesterol, arteriosclerosis, and stroke is fully understood by students. Morrell et al. conducted a study among 360 undergraduate students recruited from three universities in the U.S. and reported that 12% of their male participants had MetS compared to 6% of their female participants[22]. In general, men do not routinely seek medical care and discuss health complications with their healthcare providers, and in this study also male students showed lower knowledge about these conditions[43]. This suggests that there is a need to increase knowledge of the interconnections between elevated cholesterol and CVD complications among students, especially male students. This lends support for campaigns such as “know your number”[44] as an effective way to raise awareness among male students about the need to have their serum cholesterol measured and for each student to know his results in order to spur the necessary lifestyle changes, if needed.

As for myocardial infarction and stroke questions, there seems to be confusion between myocardial infarction and stroke as almost half of the students believed that a stroke was frequently preceded by chest pain and is characterized by a sudden dysfunction of the heart. More than two-thirds of the students falsely thought that myocardial infarction is caused by cerebral dysregulation of the heart, and 84% believed that myocardial infarction is caused by malfunction of the heart valves. Similar findings were reported by other authors. Becker et al.[29] reported that more than one-third of their participating students thought that a stroke often begins as chest pain and about 70% believed that myocardial infarction was due to malfunctioning of the heart valves[29]. However, symptoms of myocardial infarction were better understood by students as the majority of students, especially females, knew that most myocardial infarctions can cause chest pain that can radiate into the right or left arm, shortness of breath, and can permanently damage the heart tissue. However, over 70% of the students falsely believed that a myocardial infarction was usually preceded by a loss of sensation and numbness, more than half of the students inaccurately believed that surgical treatment was needed, and that paralysis was an outcome of myocardial infarction. Munoz et al.[38] also reported that a high proportion of their female students knew the causes of heart disease and were aware of the basic warning signs associated with a heart attack[38].

Whether specific knowledge about the individual conditions and signs and symptoms is critical to students to recognizing their personal risk and making the behavior and lifestyle changes at an early age that are necessary to prevent these conditions is still unknown. However the results of this study indicate that there are opportunities for clarifying understanding about specific conditions. In particular, health education may need to be developed that targets students of non-Health Science majors since their knowledge is different than Health Science majors. The level of understanding is only significantly different for those students in the 5th year of school. Educating students about cardiovascular diseases and stroke at early stages is very important; especially risk factors for heart disease that are established at an early age[45].

As indicated previously, the impact of a Science-based curriculum on health knowledge is confirmed as expected by these study results and this increased knowledge cannot be attributed to the higher proportion of females, versus males, that reported a Science field of study. As students become more educated about MetS risk factors, positive lifestyle changes are more likely to be followed. Colleges and universities should put their emphasis not only on students’ mainstream coursework but also on students’ health education that involve preventive strategies to promote good health and minimize the development of MetS risk factors among students at an early age. It has been documented that lifestyle modifications are an effective treatment strategy to reduce MetS[46–51]. In this essence, mandating the incorporation of health education courses into the curriculum should be a priority for colleges and universities to enhance students’ wellness and promote a healthy lifestyle that nurtures students’ academic success - in particular for non-Health Science majors since they have the lowest level of knowledge.

Study’s strengths and limitations

Given the serious health problems resulting from MetS, evaluating students’ level of awareness and knowledge about conditions relevant to MetS is crucial. Colleges and universities are often the final academic settings where students can acquire knowledge about health-related issues and develop positive lifestyle skills. Findings from this study will help in filling the gap in evaluating students’ knowledge about conditions relevant to MetS and in identifying students’ existing false beliefs. Critical baseline information was provided in this study and results can be used in developing health education courses tailored to students’ needs. The main limitation of this study is the small sample size, which limits the generalization of this study’s findings and limits the statistical power to detect significant differences between genders. Therefore, this study’s results should be interpreted with caution, as results may not be generalizable to all university students. Another limitation is the use of the cross-sectional design which cannot distinguish whether the false belief is a result of students’ lack of awareness or due to students’ pre-existing knowledge. Also, this study was limited in that most of the participants were female students (72% female vs. 28% male). Female students may have been more interested in research related to health issues than male students, since participants voluntarily entered into the study. Nevertheless, the dominance of female participants reflects the university’s student body data and is consistent with the gender composition of a large-scale national study[35]. The participants’ answers were self-reported; thus, factors such as question interpretation and understanding by students may have also affected the results. Lastly, it would be important to replicate this study in schools having a more ethnically diverse student population than in the current study and to include students pursuing a greater variety of majors. Given the serious implications of MetS on health, research on this topic deserves further attention.

The present study provides insight into students’ knowledge about conditions relevant to MetS.

Students’ understanding of conditions relevant to metabolic syndrome differed among domains, with few gender differences and few false beliefs. Knowledge about a health condition’s signs and symptoms, health consequences, and treatment are prerequisites to the next component of the health belief model—understanding “your” personal risk. While the students acknowledged the importance of heredity, this may still not translate into personal risk for them at the level necessary for them to consider behavior change and adoption of more healthy lifestyles. In this study, specific family history did not impact students’ knowledge in those specific conditions. Thus, using family history as a perceived threat (according to Health Belief Model) to motivate students may not be effective. This research indicates that health education programs at the college level may be able to assume basic knowledge about the various conditions related to MetS; however, there is a room for improvement. Also, colleges may need to focus on the how these conditions relate to the students on a personal level, so that this knowledge is more likely to lead to healthy lifestyles. A recent study conducted by Hawkins et al. indicated that knowledge acquisition via education is effective when education is tailored to students’ needs[52]. Other researchers also noted that acquiring knowledge about health-related problems was associated with more positive changes[53, 54]. In this essence, health education based on individual’s “personal” risk is important to facilitate voluntary adaptions of healthy behavioral choices.

Given the increasing prevalence of MetS among college-aged adults, raising awareness about MetS among this age group is important to reduce the prevalence of this condition. Colleges and universities are ideal settings to educate students about health issues, however, they need to move beyond simple knowledge acquisition and focus on the ability to connect this knowledge on a “personal” level to the individual student’s perception of their own risk and then equip them with the right skills needed to help them translate knowledge into positive lifestyle behaviors. Previous studies have indicated that lifestyle interventions, including a healthy eating pattern, regular physical activity, and weight management, can substantially reduce the prevalence of MetS among various age groups of different populations[42–46]. Future research should examine whether students’ knowledge of conditions relevant to MetS did translate into their lifestyle practices towards Mets risk reduction. This question can be investigated by assessing the actual prevalence of MetS among CMU students. Future research should also explore the strategies that can stimulate students’ personal risk perception to create positive change in their lifestyle behaviors.

Acknowledgments

A special note of appreciation goes to Dr. Esther Myers for her constructive and invaluable comments on the draft. Also, I would like to extend my sincere appreciation to CMU students, namely Joshua Bolender, Ethan Michaels, Alyssa Thornton, Ashley Harper, Courtnay Hughes, Elizabeth Kasbow, Kaitlin Thomas, and Melissa Harmon for assisting in literature review, data entry, references’ listing, and to all CMU students who participated in this study. In addition, a thank you note goes to Tanita Corporation for providing the body fat analyzer 300A scale for this research.

Funding

This work was partially supported by the EHS Scholarship grant and the Faculty Research and Creative Endeavors (FRCE) Premier Display grant at CMU.

Authors' original submitted files for images

Below are the links to the authors’ original submitted files for images.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

NY carried out questionnaire design, manuscript preparation, data collection and study coordination. CB contributed in the statistical analysis. MR contributed in data collection and data entry. MC performed all the statistical analysis. All authors read and approved the final manuscript.

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